Insilico and Janssen take another step towards predictive biomanufacturing: Digital Twins allow for accelerated timelines in cell line development for biologics production

27 September 2019

Insilico Biotechnology AG and the Janssen Pharmaceutical Companies of Johnson & Johnson announced an agreement to apply Insilico's predictive Digital Twins for the early selection of high-performing cells to further boost efficiency and throughput of their cell line development workflow.

The growing pipeline of biopharmaceutical products requires companies to identify the best performing cell lines for large scale production as early as possible to enable accelerated development of highly economic and robust production processes. In a procedure called clone selection, high-performing cell lines are identified and selected for further process optimization. Despite increased standardization efforts in this area, the challenge remains to rapidly identify those clones which robustly express large amounts of highquality biologics. Janssen and Insilico collaborate to develop an automated workflow for predictive clone selection by combining the outstanding expertise of both companies in cell line development and predictive modelling of cell cultures.

Insilico's Digital Twins are digital models of cells in their bioprocess which allow for virtual experimentation to replace time-consuming wet lab experiments. Clone-specific Digital Twins enable the selection of the best producer cells in high-throughput scale-down systems by predicting an individual clone's performance and robustness in large scale and its improvement potential under optimized media and feeding conditions. "The use of Insilico’s predictive Digital Twins for clone selection is a great example of combining state-ofthe-art modelling and experimental expertise. Looking back at several years of successful collaboration, we see a great potential to further shorten our development timelines and thus bring high-quality biopharmaceutical products to patients in the shortest possible time." says Kevin D. Smith, PhD, Head of Cell Line Development of Janssen Research & Development, LLC.

"Automated workflows for clone selection not only result in more robust and efficient processes, but allow Janssen to select the best production clone very early. This saves a significant amount of wet lab experiments and thus shortens development timelines. We are very excited to collaboratively develop a faster and more economic clone selection workflow for Janssen." says Klaus Mauch, CEO of Insilico Biotechnology AG..

Insilico Biotechnology AG
Sebastian Pochert | Business Development